53 research outputs found
End-to-End Privacy for Open Big Data Markets
The idea of an open data market envisions the creation of a data trading
model to facilitate exchange of data between different parties in the Internet
of Things (IoT) domain. The data collected by IoT products and solutions are
expected to be traded in these markets. Data owners will collect data using IoT
products and solutions. Data consumers who are interested will negotiate with
the data owners to get access to such data. Data captured by IoT products will
allow data consumers to further understand the preferences and behaviours of
data owners and to generate additional business value using different
techniques ranging from waste reduction to personalized service offerings. In
open data markets, data consumers will be able to give back part of the
additional value generated to the data owners. However, privacy becomes a
significant issue when data that can be used to derive extremely personal
information is being traded. This paper discusses why privacy matters in the
IoT domain in general and especially in open data markets and surveys existing
privacy-preserving strategies and design techniques that can be used to
facilitate end to end privacy for open data markets. We also highlight some of
the major research challenges that need to be address in order to make the
vision of open data markets a reality through ensuring the privacy of
stakeholders.Comment: Accepted to be published in IEEE Cloud Computing Magazine: Special
Issue Cloud Computing and the La
Big data privacy in the Internet of Things era
Over the last few years, we've seen a plethora of Internet of Things (IoT) solutions, products, and services make their way into the industry's marketplace. All such solutions will capture large amounts of data pertaining to the environment as well as their users. The IoT's objective is to learn more and better serve system users. Some IoT solutions might store data locally on devices ('things'), whereas others might store it in the cloud. The real value of collecting data comes through data processing and aggregation on a large scale, where new knowledge can be extracted. However, such procedures can lead to user privacy issues. This article discusses some of the main challenges of privacy in the IoT as well as opportunities for research and innovation. The authors also introduce some of the ongoing research efforts that address IoT privacy issues
Enabling the new economic actor: personal data regulation and the digital economy
This paper offers a sociological perspective on data protection regulation and its relevance to the design of digital technologies that exploit or ‘trade in’ personal data. From this perspective, proposed data protection regulations in Europe and the US seek to create a new economic actor – the consumer as personal data trader – through new legal frameworks that shift the locus of agency and control in data processing towards the individual. The sociological perspective on proposed data regulation recognises the reflexive relationship between law and the social order, and the commensurate need to balance the demand for compliance with the design of tools and resources that enable this new economic actor; tools that provide both data protection to the individual and allow the individual to exploit personal data to become an active player in the emerging data economy
Accountable Internet of Things? Outline of the IoT databox model
© 2017 IEEE. This paper outlines the IoT Databox model as a means of making the Internet of Things (IoT) accountable to individuals. Accountability is a key to building consumer trust and mandated in data protection legislation. We briefly outline the 'external' data subject accountability requirement specified in actual legislation in Europe and proposed legislation in the US, and how meeting requirement this turns on surfacing the invisible actions and interactions of connected devices and the social arrangements in which they are embedded. The IoT Databox model is proposed as an in principle means of enabling accountability and providing individuals with the mechanisms needed to build trust in the IoT
Enabling the new economic actor: personal data regulation and the digital economy
This paper offers a sociological perspective on data protection regulation and its relevance to the design of digital technologies that exploit or ‘trade in’ personal data. From this perspective, proposed data protection regulations in Europe and the US seek to create a new economic actor – the consumer as personal data trader – through new legal frameworks that shift the locus of agency and control in data processing towards the individual. The sociological perspective on proposed data regulation recognises the reflexive relationship between law and the social order, and the commensurate need to balance the demand for compliance with the design of tools and resources that enable this new economic actor; tools that provide both data protection to the individual and allow the individual to exploit personal data to become an active player in the emerging data economy
La tecnologia podria ser la respuesta si comprendieramos las preguntas
Just as we begin to talk seriously about the ‘information society’ and ‘knowledge management’, commercialism and technology push are tending to militate against the transformation of information into knowledge, and knowledge into wisdom. We are in danger of losing our way if we do not recognize the ‘dark side’ of technology and minimize its effects; and if we ignore the human and social dimension in the increasingly complex information systems which we are buildingJustamente ahora que comenzamos a plantearnos seriamente la sociedad de la información y la gestión del conocimiento, las presiones del mercado y de la tecnologÃa militan en contra de la transformación de la información en el conocimiento y del conocimiento en sabidurÃa. Estamos en peligro de perder nuestra ruta si no reconocemos el lado oscuro de la tecnologÃa y minimizamos sus efectos, y si ignoramos las dimensiones humanas y sociales de los sistemas de información que estamos construyendo y que resultan de una complejidad siempre creciente. (Autor
Enabling the new economic actor: personal data regulation and the digital economy
This paper offers a sociological perspective on data protection regulation and its relevance to the design of digital technologies that exploit or ‘trade in’ personal data. From this perspective, proposed data protection regulations in Europe and the US seek to create a new economic actor – the consumer as personal data trader – through new legal frameworks that shift the locus of agency and control in data processing towards the individual. The sociological perspective on proposed data regulation recognises the reflexive relationship between law and the social order, and the commensurate need to balance the demand for compliance with the design of tools and resources that enable this new economic actor; tools that provide both data protection to the individual and allow the individual to exploit personal data to become an active player in the emerging data economy
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